Abstract: Graph Convolutional Networks (GCNs) are widely used for skeleton-based action recognition and achieved remarkable performance. Due to the locality of graph convolution, GCNs can only utilize ...

Abstract: Most of the existing knowledge graphs suffer from incompleteness, which can predict the missing links based on known facts. A popular solution is to update the embedding representation of ...